 101.1: What is meant by the statement that two variables are related? Two ...
 101.2: How is a linear relationship between two variables measured in stat...
 101.3: What is the symbol for the sample correlation coefficient? The popu...
 101.4: What is the range of values for the correlation coefficient? The ra...
 101.5: What is meant when the relationship between the two variables is ca...
 101.6: Give examples of two variables that are positively correlated and t...
 101.7: Give an example of a correlation study, and identify the independen...
 101.8: What is the diagram of the independent and dependent variables call...
 101.9: What is the name of the correlation coefficient used in this sectio...
 101.10: What statistical test is used to test the significance of the corre...
 101.11: When two variables are correlated, can the researcher be sure that ...
 101.12: Gas Tax and Fuel Use The data below indicate the state gas tax in c...
 101.13: Commercial Movie Releases The yearly data have been published showi...
 101.14: Forest Fires and Acres Burned An environmentalist wants to determin...
 101.15: Alumni Contributions The director of an alumni association for a sm...
 101.16: State Debt and Per Capita Tax An economics student wishes to see if...
 101.17: School Districts and Secondary Schools A random sample of states yi...
 101.18: Triples and Home Runs The data below show the number of threebase ...
 101.19: Egg Production Recent agricultural data showed the number of eggs p...
 101.20: Emergency Calls and Temperature An emergency service wishes to see ...
 101.21: Faculty and Students The number of faculty and the number of studen...
 101.22: Precipitation and Snow/Sleet For a random selection of U.S. cities,...
 101.23: Average Temperature and Precipitation The average normal daily temp...
 101.24: NHLAssists and Total Points Arandom sample of scoring leaders from ...
 101.25: Fat Grams and Secondary Schools The numbers of fat calories and gra...
 101.26: Tall Buildings An architect wants to determine the relationship bet...
 101.27: Hospital Beds A hospital administrator wants to see if there is a r...
 101.28: One of the formulas for computing r is Using the data in Exercise 2...
 101.29: Compute r for the data set shown. Explain the reason for this value...
 101.30: Compute r for the following data and test the hypothesis H0: r _ 0....
Solutions for Chapter 101: Scatter Plots and Correlation
Full solutions for Elementary Statistics: A Step by Step Approach 8th ed.  8th Edition
ISBN: 9780073386102
Solutions for Chapter 101: Scatter Plots and Correlation
Get Full SolutionsSince 30 problems in chapter 101: Scatter Plots and Correlation have been answered, more than 24906 students have viewed full stepbystep solutions from this chapter. Chapter 101: Scatter Plots and Correlation includes 30 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach 8th ed., edition: 8. Elementary Statistics: A Step by Step Approach 8th ed. was written by and is associated to the ISBN: 9780073386102.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Analytic study
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study

Asymptotic relative eficiency (ARE)
Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

Attribute
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.

Average
See Arithmetic mean.

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

Biased estimator
Unbiased estimator.

C chart
An attribute control chart that plots the total number of defects per unit in a subgroup. Similar to a defectsperunit or U chart.

Center line
A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.

Conditional probability
The probability of an event given that the random experiment produces an outcome in another event.

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a modelitting process and not on replication.

Experiment
A series of tests in which changes are made to the system under study

Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.